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Proton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer - 2021

Proton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer

Research paper on Proton Exchange Membrane Fuel Cell Steady State Modeling Using Marine Predator Algorithm Optimizer

Research Area:  Metaheuristic Computing

Abstract:

In this paper, the problem concerned is to find the optimum values of the seven uncertain parameters ξ1, ξ2, ξ3, ξ4, λ, Rc, and β of the semi-empirical equation that defines the proton exchange membrane fuel cell (PEMFC) polarization (I/V) relationship using a recent optimization technique, the marine predator algorithm (MPA). The main target of this study is to obtain a very precise PEMFC steady state model. The MPA mimics the different random movements of marine predators when foraging and is believed to always converge to a stable value. Three popular stacks namely the Ballard Mark 5 kW, BCS stack 500 W, and Temasek 1 kW are investigated and efficiently modeled. Numerical results show the high accuracy of the MPA-based model when compared with other recently published optimization techniques.

Keywords:  
Fuel cell
MPA
Optimization methods
Steady state modeling
Distributed generation

Author(s) Name:  Ahmed H. Yakout, Hany M. Hasanien, Hossam Kotb

Journal name:  Ain Shams Engineering Journal

Conferrence name:  

Publisher name:  Elsevier

DOI:  10.1016/j.asej.2021.04.014

Volume Information:  Volume 12, Issue 4, December 2021, Pages 3765-3774